Write curriculum for mini-lecture on invasive species and infectious disease to be delivered in the greenhouse following science_curriculum outline.

Simulate greenhouse data to write data analysis and visualization activity. Data include (per pot):

1. plant height (cm)
2. area of one leaf (cm²)
3. area with damage on same leaf as (2) (cm²)
4. leaf (wet) weight (g)

Create an activity to analyze field data (biodiversity_example_data) that includes the following:

1. Import data

   a. read.csv, readr::read_csv, readxl::read_excel

2. Plot biomass vs. species richness

   a. Point plots

3. On their own: plots of pollinators or leaf damage vs. species
   richness

4. ggplot linear regressions: 'lm' vs. 'lowess' method

Write a mini "lecture" introducing students to R and RStudio. Include how broadly used R is and why, RStudio intro should be interactive with students following along on their computers.

Simulate field data to write data analysis and visualization activity. Data include (per plot):

1. Species richness
2. Max height or median height from 3 measurements (different canopy levels)
3. Number of pollinators
4. Number of leaves with damage

Create introduction to R activity that includes the skills used in the invasive species & enemies code and the biodiversity & its benefits code (see code folder in coding_curriculum). Can build on as those are created or wait until they're done.

build upon invasive_species_enemy code (in code folder inside coding_curriculum) to include the following parts:

1. Make new variables:
   a. LMA = weight / leaf area
   b. Percent damage = area damaged / leaf area
   c. Add to a data frame: data_frame$LMA = weight / leaf_area

2. 3-D plot of plant traits with points colored by species and shapes
   by origin

3. On their own: change the color palette or shapes

4. Plots of percent damage vs. leaf traits and origin
   a. Point plots
   b. Bar graphs or boxplots
   c. ggplot lm and talk about observed differences

5. On their own: write their conclusions in words

Add to example datasets on the coding_curriculum.Rmd file and come up with some example figures like Whalen did in bivens_field_data.Rmd, so that we're prepared to give them some examples if they get stuck.